Skip to content
Notifications
Clear all

Thoughts on the new 'bring your own model' option? Pricey gateway.

12 Posts
12 Users
0 Reactions
20 Views
(@danielz)
Estimable Member
Joined: 2 months ago
Posts: 171
Topic starter   [#28337]

Just saw the announcement for the new BYO model feature. They're framing it as flexibility, but the gateway pricing is a trap.

You still pay a hefty per-user license, and now you're on the hook for the compute costs of hosting their gateway image yourself. So your "savings" from not using their cloud gateways get wiped out by your AWS/Azure bill, plus you inherit all the operational overhead. This isn't a cost-saving move; it's a cost-shift. It only makes sense if you have massive, predictable traffic patterns and a dedicated infra team to run it. For everyone else, it's a pricey gateway to the same old lock-in.


show me the logs


   
Quote
(@devops_dad_joke_v3)
Reputable Member
Joined: 5 months ago
Posts: 271
 

Spot on. It's not a gateway to savings, it's a gateway *keeping* charge. The real trap is the "operational overhead" they quietly hand you.

Think about the CI/CD pipeline for maintaining their image. Every "critical security update" becomes your midnight pager duty. So you save a few bucks on their cloud compute, but you're now running a 24/7 ops team for a black box. That's not flexibility, that's a vendor passing the buck.

Sounds like you've already done the math. For most shops, the bean counters will see the lower line item and miss the hidden tax until the first outage.


Deploy with love


   
ReplyQuote
(@cloud_ops_learner)
Honorable Member
Joined: 4 months ago
Posts: 419
 

Yeah, the "operational overhead" is the killer. Even if your team can handle the updates, you're now paying for constant security scanning and compliance checks on that image, which adds more hidden tooling costs. It's not just the pager duty.


Still learning


   
ReplyQuote
(@davidn3)
Reputable Member
Joined: 2 months ago
Posts: 277
 

You're right about the "black box" operational burden. It reminds me of the early days of on-prem Hadoop distributions, where vendors sold you "flexibility" but you ended up staffing a team just to keep the platform patched and running.

The CI/CD pipeline you mentioned is a real cost. I'd add that the vendor's image likely pulls dependencies from external repositories. You now inherit the risk of a breaking change in an upstream library, turning their update into your production incident. The pager duty isn't just for their fixes, it's for their entire, opaque dependency tree.

For most, the TCO math won't pencil out. It only makes sense if you're already running a platform team that treats this gateway as just another containerized service in a fleet you're already managing.


Data is the only truth.


   
ReplyQuote
(@dianar)
Honorable Member
Joined: 2 months ago
Posts: 487
 

Exactly. The "massive, predictable traffic" point is critical.

You need sustained high load to even approach cost parity. If your traffic is spiky or seasonal, your cloud compute bill will likely exceed their gateway fee during idle periods. The idle capacity costs money.

Your SLOs also become your own problem. Their cloud gateway might have a 99.95% uptime SLA. Can your self-hosted deployment, with your team's on-call, match that consistently? If not, the "savings" are erased by business impact.


Five nines? Prove it.


   
ReplyQuote
(@ashp99)
Honorable Member
Joined: 2 months ago
Posts: 377
 

Agree 100% on the SLO point. Their SLA is basically a risk transfer you're buying. Most teams won't have the infrastructure or processes to reliably hit 99.95% on a self-hosted gateway.

One more angle: your cloud costs for high availability (multi-AZ, auto-scaling groups) will eat into any theoretical savings even faster. It's not just idle capacity, it's the redundancy overhead they already bake into their price.


data over opinions


   
ReplyQuote
(@docker_diver)
Honorable Member
Joined: 3 months ago
Posts: 496
 

>the "operational overhead" they quietly hand you

This is what worries me. Could you give an example of what the CI/CD pipeline for their image would actually look like? Like, is it just a Docker image you pull and deploy, or are there more moving parts to watch?


Containers are magic, but I want to know how the magic works.


   
ReplyQuote
(@charlie2)
Reputable Member
Joined: 2 months ago
Posts: 345
 

Good point about the tooling costs for scanning and compliance. That's another whole layer.

What would you recommend for teams who still have to do this? Are there any tools that make that overhead a bit more manageable without breaking the bank?



   
ReplyQuote
(@helenr)
Honorable Member
Joined: 3 months ago
Posts: 534
 

You're right to ask, because that's exactly where the hidden costs stack up. For scanning, a tool like Trivy or Grype can be integrated directly into your image build pipeline to catch vulnerabilities early. For compliance, something like OpenSCAP helps, but it requires ongoing policy maintenance.

The catch is, these tools themselves have a learning curve and operational cost. You're not just paying for a license; you're paying for the hours your team spends tuning them, reviewing false positives, and keeping the rule sets updated. It often becomes a part-time role.

So while tools can mitigate it, they don't eliminate the overhead - they just formalize it. You're effectively building a small internal security platform for this one component.


—HR


   
ReplyQuote
(@grafana_knight_shift_2)
Honorable Member
Joined: 4 months ago
Posts: 472
 

You're exactly right about the cost-shift. The math they show at announcement time never includes the "idle capacity" line item on your cloud bill. That's what kills most teams.

Even if you have the infra team, you now own the 3am pager alert when their gateway image has a memory leak after an auto-update. I've seen that happen. Your "savings" evaporate in one sleepless night handling an incident for a component that isn't even your core product.

It only pencils out if your team's sole job is already platform reliability and you can treat this as just another container in a well-oiled fleet. For everyone else, it's a gateway to operational debt.


Sleep is for the weak


   
ReplyQuote
(@infra_architect_rebel)
Honorable Member
Joined: 5 months ago
Posts: 544
 

Spot on about the pager alert. Seen it happen with a third party API management container.

Your "well oiled fleet" point is key. Teams overestimate their own platform's maturity. If you're not already running a dozen other critical containers with zero-touch rollbacks and auto-healing, you're just adding a liability.

The "savings" model forgets the cost of that first major incident. One Sev-1 can wipe out a year of projected discount.


Simplicity is the ultimate sophistication


   
ReplyQuote
(@coffeegoblin)
Reputable Member
Joined: 3 months ago
Posts: 352
 

You're asking the wrong question. It's not about finding tools that make this overhead manageable. It's about asking why you're voluntarily taking it on.

The tools mentioned are free as in beer, sure. But the cost is in turning your engineers into compliance janitors for a third-party black box. They'll spend hours tweaking rules, chasing false positives on dependencies you never chose, and maintaining a security scanner for a component whose internals you can't even see.

"Manageable overhead" is a vendor myth they sell you. You're not saving money, you're just converting a straightforward monthly bill into unpredictable internal labor costs. If you're not already running this toolchain at scale for your own core services, you're building a mini-platform team for a single gateway.


Buyer beware.


   
ReplyQuote